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Decision Analyst

mid · Data Science & Analytics

Job Description

Purpose of the role

To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. 

Accountabilities

• Identification and extraction of relevant data from various internal and external sources.
• Performing sensitivity analysis and scenario planning.
• Monitoring and evaluation of the performance of existing models.
• Development and implementation of data quality control procedures.
• Building and validation of quantitative models to support decision-making across different business areas.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Embark on a transformative journey as a “Decision Analyst” at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.

The Portfolio Credit Analytics & Strategy team is at the forefront of shaping Barclays’ unsecured lending strategies through rigorous data analysis and actionable insights. Working closely with senior leaders across Product, Finance, and Risk, the team drives strategic recommendations on Product, Affordability, and Securitization, with a strong focus on analytical quantification. As an in-business function, the team primarily supports the analytical agenda for unsecured lending products, including, but not limited to, Pricing and Limit strategies, ensuring robust decision-making at every turn.

To be successful in this role as a “Decision Analyst" in Barclays UK, you should possess the following skillsets:

• Really strong data skills using SAS, SQL & Python.

• A decision analyst must possess strong analytical and quantitative skills to evaluate data, identify patterns and trends, and generate insights that support effective business decision-making.

• Attention to detail is critical for a decision analyst to ensure data accuracy, validate assumptions, and identify inconsistencies that could impact the quality of analyses or recommendations.

• Hands-on experience in developing predictive statistical models, forecasting techniques, machine learning & Risk-Reward models, demonstrating your proficiency in applying advanced analytics to real business challenges.

• Solid proven experience in making strategic recommendations through analytics in Unsecured lending (Cards/Loans/Overdrafts), Banking, Retail, eCommerce or pharmaceutical domains.

• Decision analysts must demonstrate critical and strategic thinking, enabling them to solve complex business problems, assess trade-offs, evaluate risks, and develop data-driven solutions that optimize outcomes.

Some other highly valued skills include:

• Effective articulation and story-telling ability, enabling you to communicate complex analytical findings in a clear and compelling manner to diverse stakeholders.

• Strong commercial understanding of unsecured lending products, risk and affordability policy, and the key drivers of revenue, risk, and cost, equipping you to provide strategic recommendations that balance growth and risk mitigation.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in our Noida, Candor Techspace office.